code: def __init__(self, C_in, C_out, kernel_size, padding):
      super().__init__()
      self.relu = nn.ReLU()
      self.conv = SeparableConv(C_in, C_out, kernel_size, 1, padding)
      self.bn = nn.BatchNorm2d(C_out, affine=True)
  
imports: import torch
  import torch.nn
label_desc: Use image node_id 1 to create a new SepConvBN object from inherited base classes: nn with example: obj = SepConvBN(C_in, C_out, kernel_size, padding)